意見の二極化とその関連した意見の相違:モデリングとモジュレーション

Xuzhe Qian^1,2, Bo-Wei Qin^1,2,3, Huaiping Zhu⁴

¹Fudan University, School of Mathematical Sciences and Shanghai Center for Mathematical Sciences, 200433 Shanghai, China.

Physical review. E

|February 20, 2026

まとめ

自信効果により,極化は避けられない. しかし,接続された意見の相違は,ネットワークトポロジーと不安定な固有モードから生じ,コンセンサスが達成できない場合,それを緩和する戦略を提供します.

科学分野:

社会的ダイナミクス
ネットワーク科学ネットワーク科学
心理的メカニズム心理的なメカニズム

背景:

経済学,技術学,政治学において,意見の相違と分極化が蔓延している.
以前の研究は,完全なコンセンサスを達成することに焦点を当て,しばしば意見の相違の固有のメカニズムを無視しました.
分極化と意見の相違の根源を理解することは,社会的凝結にとって極めて重要です.

研究の目的:

意見の二極化における自信効果の役割を調査する.
偏極化と関連する意見の相違の形成機構を区別する.
ネットワークトポロジーと接続された不一致の強化の関係を探求する.

主な方法:

自信効果を組み込むネットワーク化されたダイナミックモデルの開発.
意見のパターンとその境界の分析.
ランダム・ウォーク・ノルマライズド・ラプラシアン (RWNL) と,ネットワーク構造との関係におけるその自己モードの調査.

主要な成果:

偏極化は,社会的圧力を解釈する際の自信効果の必然的な結果である.
偏化 (意見の分布) は必ずしも,高レベルのつながった意見の相違に等しいとは限りません.
ネットワークトポロジーの影響を受けたRWNLの不安定な自己モードの数が増加するにつれて,接続された意見の相違が強まります.

結論:

偏極化と関連した意見の相違は,異なる形成メカニズムを持っています.
ネットワークトポロジーは,接続された不一致の進化と強度に大きな影響を与えます.
発見は,二極化を取り除くことができない場合でも,関連した意見の相違を緩和するための戦略を提供します.

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